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20232026
most citedDebiased Multimodal Understanding for Human Language Sequences

3 citations · 13 across the 14 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

Video = World + Event Stream

Lianghua Huang, Zhi-Fan Wu, Yupeng Shi +24

We present Wan-Streamer v0.3, which reframes our native-streaming interaction model under a single organizing view: a video is a world plus an event stream. The world is the persis…

cs.CV2026

Wan-Streamer v0.2: Higher Resolution, Same Latency

Lianghua Huang, Zhi-Fan Wu, Yupeng Shi +23

We present Wan-Streamer v0.2, a latency-preserving upgrade of the native-streaming, end-to-end audio-visual interaction model. v0.2 keeps the v0.1 modeling formulation, but raises…

cs.CV2026

GenAgent: Scaling Text-to-Image Generation via Agentic Multimodal Reasoning

Kaixun Jiang, Yuzheng Wang, Junjie Zhou +6

We introduce GenAgent, unifying visual understanding and generation through an agentic multimodal model. Unlike unified models that face expensive training costs and understanding-…

cs.CV2025

MMARD: Improving the Min-Max Optimization Process in Adversarial Robustness Distillation

Yuzheng Wang, Zhaoyu Chen, Dingkang Yang +2

Adversarial Robustness Distillation (ARD) is a promising task to boost the robustness of small-capacity models with the guidance of the pre-trained robust teacher. The ARD can be s…

cs.CV2024

Towards Context-Aware Emotion Recognition Debiasing from a Causal Demystification Perspective via De-confounded Training

Dingkang Yang, Kun Yang, Haopeng Kuang +3

Understanding emotions from diverse contexts has received widespread attention in computer vision communities. The core philosophy of Context-Aware Emotion Recognition (CAER) is to…

cs.CV2024

Self-Cooperation Knowledge Distillation for Novel Class Discovery

Yuzheng Wang, Zhaoyu Chen, Dingkang Yang +2

Novel Class Discovery (NCD) aims to discover unknown and novel classes in an unlabeled set by leveraging knowledge already learned about known classes. Existing works focus on inst…